Bibliographic record
Abstract
Introduction: Cystic fibrosis is a genetic, multi-system chronic disease.The disease is caused by mutations in the CFTR gene.The incidence of the disease in Poland is estimated at 1 per 4400 births.In Poland in 2019, 1231 patients suffering from cystic fibrosis were registered.Objective of the study: Analysis of patients' quality of life suffering from cystic fibrosis.Material and methods: This cross-sectional study was conducted in a pulmonary ward between August and December 2022.The study group consisted of 52 adult patients suffering from cystic fibrosis.The mean age of the patients was 29.25 years (SD = 8.43).Twenty-three respondents received causal treatment.To collect the research material, a standardized Cystic Fibrosis Quality of Life (CFQoL) questionnaire was used, which covered number of domains: physical activity, social activity, treatment-related causes, respiratory system symptoms, emotional wellbeing, concerns for the future, interpersonal relations, body image, concerns about work/study, and personal data from a questionnaire filled in by the subject.Results: The study showed that, in total, patients obtained an average of 51.24 points in the CFQoL questionnaire (SD = 20.18).Low quality of life was demonstrated in 23 patients.In the assessment of the quality of life, patients rated physical functioning the highest, and fears about the future and fears about work/study the lowest.There was no significant relationship between gender (p = 0.449), age (p = 0.362), education (p = 0.905), marital status (p = 0.084), professional status (p = 0.096), and the area of residence of the respondents (p = 0.122) and their overall quality of life.A significant relationship was found between the overall quality of life and the use of oxygen and causative drugs in patients' treatment.Conclusions: Nearly half of patients with cystic fibrosis assess their quality of life as low.Patients who take causative drugs have a better quality of life.More frequent hospitalizations reduce the quality of life of patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".